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Tactic: Compress infrequently accessed data

Tactic sort: Awesome Tactic
Type: Architectural Tactic
Category: resource-adaptation
Tags: data-compression 

Title

Compress infrequently accessed data

Description

Data that is used infrequently should be compressed to optimize the storage costs. In contrast, data that is more frequently accessed might not be efficient to compress as the CPU power that is required to compress and extract the data might cost more than the costs saved of storing a smaller volume of data. Understanding the exact threshold to compress the data depends on the underlying hardware and can be defined through experimentation. Compressing large amounts of data that are not frequently accessed can result in major cost savings. In this case, we expect a correlation between cost and energy savings. Whenever less data is stored, less energy is used for storage. The only trade-off that needs to be considered is the amount of energy that is required to (de)compress the data

Participant

Cloud consumer

Related software artifact

Data resources

Context

Public cloud

Software feature

Storage

Tactic intent

Applying data compression to optimize storage costs

Target quality attribute

Cost-efficiency

Other related quality attributes

Energy-efficiency

Measured impact

< unknown >

Source

Master Thesis “Architectural Tactics to Optimize Software for Energy Efficiency in the Public Cloud” by Sophie Vos


Graphical representation

  • Contact person
  • Patricia Lago (VU Amsterdam)
  •  disc at vu.nl
  •  patricialago.nl

The Archive of Awesome and Dark Tactics (AADT) is an initiative of the Digital Sustainability Center (DiSC). It received funding from the VU Amsterdam Sustainability Institute, and is maintained by the S2 Group of the Vrije Universiteit Amsterdam.

Initial development of the Archive of Awesome and Dark Tactics by Robin van der Wiel